Mean of Ungrouped Data The mean, also known as the average, is a measure of central tendency that represents the typical or average value of a set of data....
Mean of Ungrouped Data
The mean, also known as the average, is a measure of central tendency that represents the typical or average value of a set of data. It is calculated by adding up all the numbers in the dataset and then dividing the sum by the total number of numbers.
Ungrouped data is data that is not grouped into categories or groups. For example, if you have a set of test scores, each score would be a single number.
Mean of Ungrouped Data
The mean of ungrouped data can be calculated using the following formula:
Mean = (x1 + x2 + ... + xn) / n
where:
x1, x2, ..., xn are the numbers in the dataset
n is the total number of numbers in the dataset
Example
Suppose you have the following dataset of test scores:
75, 80, 85, 90, 95
The mean of this dataset can be calculated as:
(75 + 80 + 85 + 90 + 95) / 5 = 85
Therefore, the mean of the ungrouped data is 85.
Key Points
The mean is a measure of central tendency.
The mean of ungrouped data is calculated by adding up all the numbers in the dataset and then dividing by the total number of numbers.
The mean of ungrouped data can be used to compare different datasets that contain the same values